CAJ | 학술논문

肺癌放射治疗中，肺部肿瘤位置实成像对于临床意义重大。在一种利用单 X射线投影进行成像的实时肺部3D成像算法中，图像配准过程引入的不准确对于 PCA模型构建以及重建过程有重大影响。文章分析了光流法、Demons算法、水平集算法三种配准算法对重建效果的影响，并通过定性以及定量实验分析验证。结果表明，光流法配准在配准结果以及模型构建方面有较好的效果。
폐암방사치료중，폐부종류위치실성상대우림상의의중대。재일충이용단 X사선투영진행성상적실시폐부3D성상산법중，도상배준과정인입적불준학대우 PCA모형구건이급중건과정유중대영향。문장분석료광류법、Demons산법、수평집산법삼충배준산법대중건효과적영향，병통과정성이급정량실험분석험증。결과표명，광류법배준재배준결과이급모형구건방면유교호적효과。
In modern lung cancer radiotherapy, it is important to have a precise knowledge of the real-time lung tumor position during the treatment delivery. For a real-time 3D lung imaging algorithm from a single X-ray projection image, the inaccuracies contributed by the image registration process affects much on the PCA modelling and construction process. We utilize 3 deformable image registration algorithms: Optical Flow method, Demons method and Levelset method to evaluate the effect. By making quantitative analysis and qualitative analysis, we get the conclusion: Optical Flow method works much better in registration and PCA modelling.